Ambarella, Inc.

Ambarella International LP

Sameer M Gauria

Peter Verplaetse

Sri Sailaja Vemu

An apparatus includes a memory and a circuit coupled to the memory. The memory may be configured as a local buffer to store all or a portion of a first array of values and all or a portion of a second array of values. The circuit may be configured to (i) calculate an intermediate array of values by multiplying a converted version of the first array by a converted version of the second array and (ii) calculate an output array comprising a plurality of output values based on values of the intermediate array and a predefined dimensional reduction.

Generalized dot product for computer vision applications

An apparatus includes a memory, a first buffer, a second buffer, and a processing circuit. The memory may be configured to store data. The first buffer may be configured to store a plurality of kernel values fetched from the memory and present a first signal communicating the kernel values as stored. The second buffer may be configured to store a plurality of input tiles fetched from the memory and present a second signal communicating the input tiles as stored. The processing circuit may be configured to (i) receive the first signal and the second signal, (ii) calculate a plurality of intermediate values in parallel by multiplying the input tiles with a corresponding one of the kernel values, and (iii) calculate an output tile comprising a plurality of output values based on the intermediate values. The kernel values are generally fetched from the memory to the first buffer slower than the input tiles are fetched from the memory to the second buffer.

Convolution calculations in multiple dimensions

An apparatus comprising a plurality of image sensors configured to capture an image and a processor. The processor may comprise a buffer. The processor may be configured to (i) receive data from the image in a sequential order, (ii) perform cost calculations on the data, (iii) store the data in the buffer in a direction, (iv) when data corresponding to an end of a line of pixels of the image is stored, perform a second cost calculation on the stored data corresponding to the line and (v) reverse the direction of storing the data in the buffer. An order for the second cost calculations on the line of the data may be last in, first out. The data may be stored while the second cost calculations are performed. Data may not be removed from the buffer until the second cost calculation has been performed on the data.

Efficient scheme for reversing image data in a memory buffer

An apparatus includes a memory and a circuit. The memory may be configured to store data. The circuit generally includes a local buffer. The circuit may be configured to (i) fetch all or a portion of a first array of values from the memory to the local buffer, (ii) fetch all or a portion of a second array of values from the memory to the local buffer, (iii) calculate an intermediate array of values by multiplying a converted version of the first array by a converted version of the second array, and (iv) calculate an output array comprising a plurality of output values based on values of the intermediate array and a predefined dimensional reduction.

An apparatus includes a memory and a circuit. The memory may be configured to store data. The circuit generally has a buffer and may be configured to (i) fetch a kernel from the memory, where the kernel may have a plurality of kernel values, (ii) fetch a block from the memory to the buffer, where the block may have a plurality of input tiles and each of the input tiles may have a plurality of input values in multiple dimensions, (iii) calculate a plurality of intermediate values in parallel by multiplying the input tiles read from the buffer with a corresponding one of the kernel values and (iv) calculate an output tile that may have a plurality of output values based on the intermediate values.

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Ithaca, NY, United States of America

Sameer M Gauria